In this paper, we analyse a concept of total knowledge based on the idea that an agent's total knowledge is the strongest proposition the agent knows. We propose semantics fo...
This paper employs epistemic logic to investigate the philosophical foundations of Bayesian updating in belief revision. By Bayesian updating, we understand the tenet that an agen...
We present a dynamic epistemic logic for knowledge change of rational agents. Existing approaches only deal with partial public announcements, that means an announcement may lead ...
One of the more controversial recent planning algorithms is the SHOP algorithm, an HTN planning algorithm that plans for tasks in the same order that they are to be executed. SHOP...
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...